Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
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Papers (including subtopics)
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization
NeurIPS 2024
SCDNet: Self-supervised Learning Feature based Speaker Change Detection
Interspeech 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
AAAI 2024
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
CVPR 2024
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)
AAAI 2024
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
ICLR 2024
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
EMNLP 2024
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
EMNLP 2024
SciMON: Scientific Inspiration Machines Optimized for Novelty
ACL 2024
SciMRC: Multi-perspective Scientific Machine Reading Comprehension
COLING 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
EMNLP 2024
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
WACV 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
CVPR 2024
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
EMNLP 2024
SCoRD: Subject-Conditional Relation Detection With Text-Augmented Data
WACV 2024
Score-based generative models are provably robust: an uncertainty quantification perspective
NeurIPS 2024
SCOREQ: Speech Quality Assessment with Contrastive Regression
NeurIPS 2024
ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection
RSS 2024
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
AAAI 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
NeurIPS 2024
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
ICML 2024
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation
IJCAI 2024
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
CVPR 2024
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
CVPR 2024
SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
CVPR 2024